Job description
Analytical interventions required to increase market share of the ETB customer segments by also managing the risk and building marketing analytics strategy proposals
Actively work with Risk & Policy counterparts to design segments to Pre-approve using proprietary risk scorecards, customer transaction data and external data sources
Implement risk management strategies while also driving business growth- manage portfolio performance and risk regularly
Drive business key KPIs on Upsell and Cross-sell; by optimising segment level offering using right pricing models
Design Decision Tree or Regression Models to identify better/worse performing segments
Create reports and dashboards on portfolio performance for consumption of senior leadership team
Stakeholder management and networking across analytics team counterparts required to build and implement strategies
Should be able to collaborate with Data engineering teams/Product management to implement and launch recent technology and AI based solutions for driving business growth and also data management
Skills Required:
Prior experience of working in credit risk, portfolio analytics and cross- sell analytics profile desired.
Should have hand-on experience on up-to-date analytics tech stacks: SAS, Python, R and Agentic AI flow creation
MBA/M.Tech or BE in Computer Science, Masters from Tier I colleges like IIT/NIT/IIMs/JBIMS/MDI/NMIMS/IIFT etc.
📌 Business Intelligence Ii Support Services Data & Analytics In House Engineering Mumbai
🏢 Kotak Mahindra Bank
📍 Mumbai
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